SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision
arXiv:2605.03846v1 Announce Type: new
Abstract: Designing an open-world quadrupedal loco-manipulation system is highly challenging. Traditional reinforcement learning frameworks utilizing exteroception often suffer from extreme sample inefficiency and…